Stanford professor who built ImageNet, co-directs Stanford's Human-Centered AI institute and co-founded the AI4ALL diversity pipeline program. Her faculty page collects the work; her Google Scholar list has the papers themselves.
From the site: Fei-Fei Li is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). The site facilitates research and collaboration in academic endeavors.
Why I recommend it: Start with ImageNet if you want to understand why the last decade of AI happened when it did. Google Scholar refuses automated visits, so that link may show no picture here.
Nonprofit increasing diversity and inclusion in AI education, research, and development through programs for underrepresented high school and college students.
In plain terms: This nonprofit provides free virtual training programs for college students interested in artificial intelligence. You can complete hands-on projects, connect with industry mentors, and prepare for entry-level AI internships.
Why I recommend it: Great structured entry point for students curious about AI careers.
Foundation working to close gaps of access, achievement, and opportunity for underrepresented communities in tech, funding equitable tech policy initiatives.
In plain terms: This organization works to remove barriers and increase diversity in the technology industry. You can explore STEM programs for students of color, read research on tech equity, and learn about early-stage startup funding.
Why I recommend it: Their research explains the leaky tech pipeline — and they fund fixes for it.
